I want to setup a docker container that runs on my reComputer j4012, based off of the Orin NX 16gb. But I can’t seem to get the container to have access to the GPU, I have tried the standard “–gpus all” and other commands to try and fix this. I have tried building off of the Nvidia L4T ML container, Nvidia L4T Base, and Nvidia L4T Cuda. But I also need pytorch for my use of Meta’s Segment Anything Model.
I have been in dependency troubles for awhile and when I get them to align for my use of SAM, the container doesn’t have access to the gpu.
Can anyone help me or point me in the right direction of a container that should work for my situation?
Does SAM have to be run through this Jetson container or can I use it how Meta specifies on their repository, downloading it and installing a checkpoint?